Real-World Object Detection: Waste Sorting & Tomato Ripeness

Smart Waste & Tomato AI

Master real-world object detection with this hands-on Udemy course focused on sustainability and agriculture. Learn to build AI models for automated waste sorting systems and tomato ripeness analysis using cutting-edge computer vision techniques. Perfect for developers, data scientists, and eco-entrepreneurs seeking actionable machine learning skills.

  • Create waste classifiers for recyclables, organics, and e-waste
  • Detect tomato ripeness stages with color and texture analysis
  • Optimize models for edge devices and IoT applications
  • Deploy solutions using TensorFlow Lite and YOLOv8 architectures

This Udemy course combines Python programming with OpenCV and PyTorch to solve environmental and agricultural challenges. Earn a certificate while developing portfolio-ready projects including smart trash bins and automated farming assistants. Limited-time Udemy coupon available for early enrollments.

  • Includes datasets for 15 waste categories and tomato maturity levels
  • Practical lessons on model quantization and performance tuning
  • Ethical AI considerations for real-world deployment
  • Integration with Raspberry Pi and low-cost sensors

Whether you’re upgrading your ML skills or launching green tech initiatives, this training bridges theory and practice. First 500 students can access this free Udemy course using coupon code GREENAI24. Learn to build AI that tackles food waste and pollution while earning Udemy certification.

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